To give basic information of biostatistical methodology and to provide the basis for the upcoming research methods courses.
Course Content
This course contains; Descriptive Statistics,Statistical assumptions and missing value analysis,Calculate and interpret confidence intervals for population means and proportions,Hypothesis Testing, p values, effect size and one sample tests,Two Sample tests,Analysis of Variance (ANOVA),Categorical data Analysis,An overview,Correlation and Regression Analysis,Logistic Regression Analysis,Two Vay ANOVA, ANCOVA, MANOVA, MANCOVA,Diagnostic tests and Roc Analysis,Survival Analysis,Reporting of Statistical Tests in Scientific Publications.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
Identifies the statistical sections of research articles published in science journals and identifies possible sources of error.
10, 14, 16, 9
A, E
Applies basic biostatistics methods.
10, 14, 16, 9
A, E
Defines the correct reporting of statistical analysis.
10, 14, 16, 9
A, E
Uses at least one of the statistical package programs.
Statistical assumptions and missing value analysis
Lecture Notes
3
Calculate and interpret confidence intervals for population means and proportions
Lecture Notes
4
Hypothesis Testing, p values, effect size and one sample tests
Lecture Notes
5
Two Sample tests
Lecture Notes
6
Analysis of Variance (ANOVA)
Lecture Notes
7
Categorical data Analysis
Lecture Notes
8
An overview
Lecture Notes
9
Correlation and Regression Analysis
Lecture Notes
10
Logistic Regression Analysis
Lecture Notes
11
Two Vay ANOVA, ANCOVA, MANOVA, MANCOVA
Lecture Notes
12
Diagnostic tests and Roc Analysis
Lecture Notes
13
Survival Analysis
Lecture Notes
14
Reporting of Statistical Tests in Scientific Publications
Lecture Notes
Resources
Rosner, B. (2015). Fundamentals of biostatistics. Nelson Education.
Zar, J. H. (2014). Biostatistical analysis. Prentice Hall, New Jersey, Cap, 12, 231-272.
Field, A. (2013). Discovering statistics using IBM SPSS statistics. sage.
Barton, B., & Peat, J. (2014). Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons.
M.Şenocak, M. (2014). Biyoistatistik ve Araştırma Yöntemleri, İstanbul: Çağlayan Kitabevi
Prof. Dr. Osman Hayran, Prof. Dr. Hanefi Özbek (2017), "Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler (SPSS Uygulama Örnekleri ile Genişletilmiş 2. Baskı)"
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Develop and deepen knowledge in the same or in a different field to the proficiency level based on Bachelor level qualifications.
X
2
Conceive the interdisciplinary interaction which the field is related with.
X
3
Use of theoretical and practical knowledge within the field at a proficiency level and solve the problem faced related to the field by using research methods.
X
4
Interpret the knowledge about the field by integrating the information gathered from different disciplines and formulate new knowledge.
X
5
Independently conduct studies that require proficiency in the field.
X
6
Take responsibility and develop new strategic solutions as a team member in order to solve unexpected complex problems faced within the applications in the field.
7
Evaluate knowledge and skills acquired at proficiency level in the field with a critical approach and direct the learning.
X
8
Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary. Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level.
9
Define the social and environmental aspects of engineering applications.
10
Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethic values and teach these values.
X
Assessment Methods
Contribution Level
Absolute Evaluation
Rate of Midterm Exam to Success
50
Rate of Final Exam to Success
50
Total
100
ECTS / Workload Table
Activities
Number of
Duration(Hour)
Total Workload(Hour)
Course Hours
2
14
28
Guided Problem Solving
3
5
15
Resolution of Homework Problems and Submission as a Report
14
5
70
Term Project
3
4
12
Presentation of Project / Seminar
2
10
20
Quiz
0
0
0
Midterm Exam
1
30
30
General Exam
1
60
60
Performance Task, Maintenance Plan
0
0
0
Total Workload(Hour)
235
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(235/30)
8
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.
Detail Informations of the Course
Course Description
Course
Code
Semester
T+P (Hour)
Credit
ECTS
BIOISTATISTICS
-
Fall Semester
3+0
3
8
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of Course
Turkish
Course Level
Second Cycle (Master's Degree)
Course Type
Elective
Course Coordinator
Assoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)
Assoc.Prof. Melis Almula KARADAYI
Assistant(s)
Aim
To give basic information of biostatistical methodology and to provide the basis for the upcoming research methods courses.
Course Content
This course contains; Descriptive Statistics,Statistical assumptions and missing value analysis,Calculate and interpret confidence intervals for population means and proportions,Hypothesis Testing, p values, effect size and one sample tests,Two Sample tests,Analysis of Variance (ANOVA),Categorical data Analysis,An overview,Correlation and Regression Analysis,Logistic Regression Analysis,Two Vay ANOVA, ANCOVA, MANOVA, MANCOVA,Diagnostic tests and Roc Analysis,Survival Analysis,Reporting of Statistical Tests in Scientific Publications.
Dersin Öğrenme Kazanımları
Teaching Methods
Assessment Methods
Identifies the statistical sections of research articles published in science journals and identifies possible sources of error.
10, 14, 16, 9
A, E
Applies basic biostatistics methods.
10, 14, 16, 9
A, E
Defines the correct reporting of statistical analysis.
10, 14, 16, 9
A, E
Uses at least one of the statistical package programs.
Statistical assumptions and missing value analysis
Lecture Notes
3
Calculate and interpret confidence intervals for population means and proportions
Lecture Notes
4
Hypothesis Testing, p values, effect size and one sample tests
Lecture Notes
5
Two Sample tests
Lecture Notes
6
Analysis of Variance (ANOVA)
Lecture Notes
7
Categorical data Analysis
Lecture Notes
8
An overview
Lecture Notes
9
Correlation and Regression Analysis
Lecture Notes
10
Logistic Regression Analysis
Lecture Notes
11
Two Vay ANOVA, ANCOVA, MANOVA, MANCOVA
Lecture Notes
12
Diagnostic tests and Roc Analysis
Lecture Notes
13
Survival Analysis
Lecture Notes
14
Reporting of Statistical Tests in Scientific Publications
Lecture Notes
Resources
Rosner, B. (2015). Fundamentals of biostatistics. Nelson Education.
Zar, J. H. (2014). Biostatistical analysis. Prentice Hall, New Jersey, Cap, 12, 231-272.
Field, A. (2013). Discovering statistics using IBM SPSS statistics. sage.
Barton, B., & Peat, J. (2014). Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons.
M.Şenocak, M. (2014). Biyoistatistik ve Araştırma Yöntemleri, İstanbul: Çağlayan Kitabevi
Prof. Dr. Osman Hayran, Prof. Dr. Hanefi Özbek (2017), "Sağlık Bilimlerinde Araştırma ve İstatistik Yöntemler (SPSS Uygulama Örnekleri ile Genişletilmiş 2. Baskı)"
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications
No
Program Qualification
Contribution Level
1
2
3
4
5
1
Develop and deepen knowledge in the same or in a different field to the proficiency level based on Bachelor level qualifications.
X
2
Conceive the interdisciplinary interaction which the field is related with.
X
3
Use of theoretical and practical knowledge within the field at a proficiency level and solve the problem faced related to the field by using research methods.
X
4
Interpret the knowledge about the field by integrating the information gathered from different disciplines and formulate new knowledge.
X
5
Independently conduct studies that require proficiency in the field.
X
6
Take responsibility and develop new strategic solutions as a team member in order to solve unexpected complex problems faced within the applications in the field.
7
Evaluate knowledge and skills acquired at proficiency level in the field with a critical approach and direct the learning.
X
8
Investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary. Communicate with peers by using a foreign language at least at a level of European Language Portfolio B2 General Level.
9
Define the social and environmental aspects of engineering applications.
10
Audit the data gathering, interpretation, implementation and announcement stages by taking into consideration the cultural, scientific, and ethic values and teach these values.
